Zhongpan Zhu
Orcid: 0000-0003-2385-6146
According to our database1,
Zhongpan Zhu authored at least 19 papers
between 2021 and 2026.
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Bibliography
2026
Learning Responsibility-Attributed Adversarial Scenarios for Testing Autonomous Vehicles.
CoRR, May, 2026
ROSClaw: A Hierarchical Semantic-Physical Framework for Heterogeneous Multi-Agent Collaboration.
CoRR, April, 2026
IEEE Trans. Intell. Transp. Syst., January, 2026
Virtual-Real Integration in Unmanned Systems: Emerging Technologies, Applications, and Future Trends.
IEEE Trans Autom. Sci. Eng., 2026
A survey on robotic manipulation of deformable objects: Recent advances, open challenges and new frontiers.
Neurocomputing, 2026
Vision-Language Model-Driven Human-Vehicle Interaction for Autonomous Driving: Status, Challenge, and Innovation.
Big Data Min. Anal., 2026
2025
Automotive Cockpit-Driving Integration for Human-Centric Autonomous Driving: A Survey.
IEEE Trans. Hum. Mach. Syst., December, 2025
A Gradient Descent-Based Backend Feedback Adaptive Motion Planning Algorithm for Autonomous Mobile Robots.
IEEE Trans. Cogn. Dev. Syst., August, 2025
IEEE Robotics Autom. Lett., June, 2025
IEEE Robotics Autom. Lett., April, 2025
FedPRM: Federated Personalized Mixture Representation for Driver Intention Prediction.
IEEE Trans. Intell. Veh., January, 2025
Distributed Adaptive Consensus of Physically Interconnected Multi-Agent Networks With Uncertainties.
IEEE Trans Autom. Sci. Eng., 2025
IEEE Trans Autom. Sci. Eng., 2025
CADiffusion: Controllable Adversarial Diffusion for Attacking Lane Detection of Autonomous Vehicles.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025
2024
Advancing autonomy through lifelong learning: a survey of autonomous intelligent systems.
Frontiers Neurorobotics, 2024
CoRR, 2024
A digital twin system for Task-Replanning and Human-Robot control of robot manipulation.
Adv. Eng. Informatics, 2024
2023
Intelligent Evaluation Method of Human Cervical Vertebra Rehabilitation Based on Computer Vision.
Sensors, 2023
2021
A data-efficient goal-directed deep reinforcement learning method for robot visuomotor skill.
Neurocomputing, 2021